Methods Comparison for Load Sensitivity Identification-Reference-Cited by-同舟云学术

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Methods Comparison for Load Sensitivity Identification

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Belgrade PowerTech
language:
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Author:

Courcelle Maëva¹^ORCID,Tao Qiucen¹^ORCID,Geis-Schroer Johanna²^ORCID,Bruno Sergio³^ORCID,Leibfried Thomas²^ORCID,De Carne Giovanni¹^ORCID

Affiliation:

1. Institute of Technical Physics (ITEP), Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany

2. Institute of Electric Energy Systems and High-Voltage Technology (IEH), Karlsruhe Institute of Technologie (KIT),Karlsruhe,Germany

3. Politecnico di Bari,Department of Electrical and Information Engineering,Bari,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10202231/10202243/10202677.pdf?arnumber=10202677

Reference16 articles.

1. Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

2. Benefits and challenges of electrical demand response: A critical review

3. Review on Implementation and Assessment of Conservation Voltage Reduction

4. The Potential of Frequency-Based Power Control in Distribution Grids

5. A review on solid-state transformer: A breakthrough technology for future smart distribution grids

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